<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">PP</journal-id><journal-title-group><journal-title>Pharmacology &amp; Pharmacy</journal-title></journal-title-group><issn pub-type="epub">2157-9423</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/pp.2015.61002</article-id><article-id pub-id-type="publisher-id">PP-53227</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Chemistry&amp;Materials Science</subject><subject> Medicine&amp;Healthcare</subject></subj-group></article-categories><title-group><article-title>
 
 
  Trends of Pediatric Outpatients Prescribing in Umm Al Quwain, United Arab Emirates
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>uleiman</surname><given-names>I. Sharif</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref><xref ref-type="corresp" rid="cor1"><sup>*</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Aseel</surname><given-names>H. Nassar</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Fatima</surname><given-names>K. Al-Hamami</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Maha</surname><given-names>M. Hassanein</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ashkur</surname><given-names>H. Elmi</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Rubian</surname><given-names>S. Sharif</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff1"><addr-line>Department of Pharmacy Practice &amp;amp; Pharmacotherapeutics, College of Pharmacy, University of Sharjah,Sharjah, United Arab Emirates</addr-line></aff><author-notes><corresp id="cor1">* E-mail:<email>sharifsi@sharjah.ac.ae(UIS)</email>;</corresp></author-notes><pub-date pub-type="epub"><day>13</day><month>01</month><year>2015</year></pub-date><volume>06</volume><issue>01</issue><fpage>9</fpage><lpage>16</lpage><history><date date-type="received"><day>17</day>	<month>December</month>	<year>2014</year></date><date date-type="rev-recd"><day>accepted</day>	<month>3</month>	<year>January</year>	</date><date date-type="accepted"><day>14</day>	<month>January</month>	<year>2015</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Background: Data with regard to local drug prescribing in pediatric population is scarce. This study was carried out to investigate the patterns of drug prescribing for pediatric outpatient in a general hospital in the United Arab Emirates. Methods: A total of 707 prescriptions were collected from a governmental hospital in Umm Al Quwain, United Arab Emirates covering the months of June and July, 2014. Encounters issued for patients older than 12 years were rejected. A total of 520 prescriptions for age groups ranging from 1 week to 12 years were studied. Prescriptions were analyzed using WHO drug use indicators. Results: All prescriptions were electronic and head lettered by the name of the hospital. Average number of drugs per prescriptions was 2.6 and all drugs were generics. Name of patient, age and gender and prescriber’s name and E-signature were present in 100%. Patient’s address, allergy and diagnosis were present in 21.15%, 83.26% and 64.42% of prescriptions respectively. Complete dosage regimen was present in all encounters. Patients were prescribed one, two, three, four or more than four drugs per prescription in 23.84%, 27.88%, 26.53%, 12.69%, and 8.65% respectively. The most commonly prescribed therapeutic classes of drugs were antibiotics (44.60%), antihistamines (43.65%), and analgesics/antipyretics (32.30%). The most commonly prescribed drugs among each class were amoxicillin (40%), xylometazoline (61.23%), and paracetamol (87.5%). Conclusion: Present results indicate that prescribing trends for pediatric population seems to be rational. However, there is over use of antibiotics and there are some areas that warrant further attention by the prescribers for a more significantly rational prescribing.
 
</p></abstract><kwd-group><kwd>Prescriptions</kwd><kwd> Trends</kwd><kwd> Pediatrics</kwd><kwd> Outpatients</kwd><kwd> Drug Use Indicators</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Irrational drug use increases the cost of treatment, incidence of adverse drug reactions and hospitalization. On the other hand, rational prescribing can be evaluated through prescription analysis to study the patterns of prescribing among physicians. Periodical evaluation of trends of prescribing is essential to point out areas for improvement and increase the awareness of prescribers to possible errors in their daily practice. In studying prescribing patterns, focus is mainly on errors which may be in the form of incomplete prescription or incorrect content [<xref ref-type="bibr" rid="scirp.53227-ref1">1</xref>] . It has been suggested that as community pharmacists have no access to patient’s information, their use of scientific knowledge is not possible in cases of prescriptions with errors or incomplete information [<xref ref-type="bibr" rid="scirp.53227-ref2">2</xref>] . On the other hand, the situation in hospital practice is different. However, it is still possible to demonstrate encounters with errors or incomplete information.</p><p>The World Health Organization (WHO) [<xref ref-type="bibr" rid="scirp.53227-ref3">3</xref>] has formulated a set of core drug use indicators (<xref ref-type="table" rid="table1">Table 1</xref>), which measure the performance of prescribers, patients experience at health facilities and whether the health personnel can function effectively. The assessment of drug use indicators according to WHO guidelines on how to investigate drug use in health facilities is prescribing indicators, patient care indicators, facility indicators and complementary indicators [<xref ref-type="bibr" rid="scirp.53227-ref4">4</xref>] .</p><p>Studies that investigated the prescribing trends in adults [<xref ref-type="bibr" rid="scirp.53227-ref5">5</xref>] -[<xref ref-type="bibr" rid="scirp.53227-ref20">20</xref>] are far in excess of those in pediatric patients [<xref ref-type="bibr" rid="scirp.53227-ref21">21</xref>] -[<xref ref-type="bibr" rid="scirp.53227-ref28">28</xref>] . It has been pointed out that drugs marketed for adult use, may possibly, be used in an off-label manner in children [<xref ref-type="bibr" rid="scirp.53227-ref2">2</xref>] . It has been shown that 80% - 93% of medications used in European and Australian neonatal wards are off-label or unlicensed [<xref ref-type="bibr" rid="scirp.53227-ref29">29</xref>] .</p><p>Moreover, harmful medication errors are three times more common in pediatric than adult patients [<xref ref-type="bibr" rid="scirp.53227-ref30">30</xref>] . It must be remembered that most of the drugs prescribed for children have not been tested in the pediatric population due to the difficulties in carrying out clinical studies in children and ethical issues due to children not being able to make their own decisions to participate in a clinical trial. Therefore, many medications have not been approved by the Food and Drug Administration for children [<xref ref-type="bibr" rid="scirp.53227-ref31">31</xref>] . An essential component in rational drug prescribing is the availability of an approved guideline such as a list of essential drugs. For prescribing for children, the first guideline was issued by the WHO in October, 2007 [<xref ref-type="bibr" rid="scirp.53227-ref32">32</xref>] .</p><p>Children are among the most vulnerable groups to possible harmful adverse effects of drugs and studies on drug use in children in UAE are lacking. The present study was undertaken to evaluate patterns of prescribing in paediatric population.</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Core drug use indicators in pediatric outpatients of a general hospital</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Prescribing indicators</th><th align="center" valign="middle" ></th></tr></thead><tr><td align="center" valign="middle" >Average number of drugs per encounter.</td><td align="center" valign="middle" >2.6</td></tr><tr><td align="center" valign="middle" >Percentage of drugs prescribed by generic name.</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >Percentage of antibiotics prescribed.</td><td align="center" valign="middle" >44.6%</td></tr><tr><td align="center" valign="middle" >Percentage of injections prescribed.</td><td align="center" valign="middle" >0.38%</td></tr><tr><td align="center" valign="middle" >Percentage of drugs prescribed from essential</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >drug list or formulary.</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Patient care indicators</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Average consultation time.</td><td align="center" valign="middle" >20 Minutes</td></tr><tr><td align="center" valign="middle" >Average dispensing time.</td><td align="center" valign="middle" >12 Minutes</td></tr><tr><td align="center" valign="middle" >Percentage of drugs actually dispensed.</td><td align="center" valign="middle" >98%</td></tr><tr><td align="center" valign="middle" >Percentage of drugs adequately labeled.</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >Patient’s knowledge of correct dosage.</td><td align="center" valign="middle" >Not assessed</td></tr><tr><td align="center" valign="middle" >Facility indicators</td><td align="center" valign="middle" ></td></tr><tr><td align="center" valign="middle" >Availability of essential drugs list or formulary.</td><td align="center" valign="middle" >BNF</td></tr><tr><td align="center" valign="middle" >Availability of key drugs.</td><td align="center" valign="middle" >85%</td></tr></tbody></table></table-wrap></sec><sec id="s2"><title>2. Methods</title><p>A hospital base cross sectional study was carried out on prescriptions issued to pediatric outpatients. The study was approved by the Ethics Committee of the Medical Campus of the University of Sharjah and hospital approval was obtained prior to collecting prescriptions. A total of 707 prescriptions were collected from a governmental general hospital in the Emirate of Umm Al Quwain, United Arab Emirates. All prescription were issued during the months of June and July, 2014. All collected encounters were electronic prescriptions issued to outpatient aged one week to 19 years. A total of 187 prescriptions issued to patients older than 12 years of age were rejected and not included in the study. The rest (520) of prescription were subjected to the study. These prescriptions were subjected to analysis according to WHO core indicators for drug use in health facilities [<xref ref-type="bibr" rid="scirp.53227-ref3">3</xref>] . Indicators (<xref ref-type="table" rid="table1">Table 1</xref>) addressed include prescribing indicators such as average number of drugs per encounter, % of drugs prescribed by generic name, % of encounters with an antibiotic prescribed, % of encounters with an injection prescribed and % of drugs prescribed from essential drugs list or formulary. Under patient care indicators, we determined average consultation and dispensing times, % of drugs actually dispensed and those adequately labeled. For facility indicators, availability of key drugs and a copy of essential drugs list or formulary were determined. Collected prescriptions were also analyzed for the presence of information with regard to prescriber, patient and prescribed drugs. These include patient’s name, age, sex, and address, and the physician’s name, address, signature, and license number. The number of drugs per prescription, dosage, frequency of administration, duration of treatment, duplicate drugs of the same therapeutic class, possible drug-drug interactions and whether prescription is clear and illegible were also considered. We also studied the most commonly prescribed therapeutic classes and the most frequently prescribed drug of each common class were counted. Documentation of history of allergy and brief diagnosis of the condition were observed. We also determined the % of prescriptions with increasing number of drugs and the most common pathological conditions for which drugs were prescribed</p></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Prescribing Indicators</title><p>As shown in <xref ref-type="table" rid="table1">Table 1</xref> the number of prescriptions studied was 520 with a total number of 1,336 drugs prescribed and an average number of 2.6 drugs per prescription. The percentages of encounters with an antibiotic and those with an injection were 44.6% and 0.38% respectively. All prescribed drugs were from a formulary namely embedded in the electronic prescribing system used in the hospital.</p></sec><sec id="s3_2"><title>3.2. Patient Care Indicators</title><p>Average consultation and dispensing times were 20 and 12 minutes respectively. All prescribed drugs were adequately labeled using the electronic system, and almost all (98%) of the prescribed drugs were actually dispensed. Parent’s knowledge of correct dosage was not assessed in the present study (<xref ref-type="table" rid="table1">Table 1</xref>).</p></sec><sec id="s3_3"><title>3.3. Facility Indicators</title><p>The electronic system of the hospital relies on an electronic drug formulary. In addition, the British National Formulary (BNF) was also available (<xref ref-type="table" rid="table1">Table 1</xref>).</p><p>Patients were distributed into males (56.34%) and females (43.65%). The majority (53.46%) of patients were 13 months - 6 years of age. Neonates comprised (1.15%), infants (5 weeks - 1 year, 13.65%) and the rest (31.73%) were 6 - 12 years of age (<xref ref-type="table" rid="table2">Table 2</xref>).</p><p>All prescriptions were electronic and were head lettered by the name of the hospital. As shown in <xref ref-type="table" rid="table3">Table 3</xref>, patient’s name, age and gender were present in 100% of the prescriptions. Patients address, history of allergy and brief diagnosis of the condition were present in 21.15%, 83.26% and 64.42% of the prescriptions respectively. Regarding the prescriber information, the name was present in 100 % of the prescriptions while signature of the prescriber was an electronic one.</p><p><xref ref-type="table" rid="table3">Table 3</xref>, also shows that the dose, route of administration, frequency of administration and the duration of treatment were present in all prescriptions. All drugs were prescribed by generic name. As shown in <xref ref-type="table" rid="table4">Table 4</xref>, patients were prescribed one, two, three, four or more than four drugs per prescription in 24%, 28%, 26.53%, 12.69% and 8.65% respectively.</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Distribution of pediatric outpatients according to age and gender</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Parameter</th><th align="center" valign="middle" >Number of patients (%) (n = 520)</th></tr></thead><tr><td align="center" valign="middle"  rowspan="4"  >Age</td><td align="center" valign="middle" >Neonates (up to 4 weeks)</td><td align="center" valign="middle" >6 (1.15%)</td></tr><tr><td align="center" valign="middle" >Infants (5 weeks - 1 year)</td><td align="center" valign="middle" >71 (13.65%)</td></tr><tr><td align="center" valign="middle" >Children (13 months - 6 years)</td><td align="center" valign="middle" >278 (53.46%)</td></tr><tr><td align="center" valign="middle" >Children (7 - 12 years)</td><td align="center" valign="middle" >165 (31.73%)</td></tr><tr><td align="center" valign="middle"  rowspan="2"  >Sex</td><td align="center" valign="middle" >Females</td><td align="center" valign="middle" >227 (43.65%)</td></tr><tr><td align="center" valign="middle" >Males</td><td align="center" valign="middle" >293 (56.34%)</td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Percentages of prescriptions containing prescriber’s, patient’s and prescribed drug’s information</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Information</th><th align="center" valign="middle" >% (n = 520)</th></tr></thead><tr><td align="center" valign="middle"  rowspan="3"  >Prescriber’s</td><td align="center" valign="middle" >Name</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >Address</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >Signature</td><td align="center" valign="middle" >E-signature</td></tr><tr><td align="center" valign="middle"  rowspan="6"  >Patient’s</td><td align="center" valign="middle" >Name</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >Address</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >Gender</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >Address</td><td align="center" valign="middle" >21.15%</td></tr><tr><td align="center" valign="middle" >Allergy</td><td align="center" valign="middle" >83.26%</td></tr><tr><td align="center" valign="middle" >Diagnosis</td><td align="center" valign="middle" >64.42%</td></tr><tr><td align="center" valign="middle"  rowspan="4"  >Drug</td><td align="center" valign="middle" >Dose</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >Route of administration</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >Frequency of administration</td><td align="center" valign="middle" >100%</td></tr><tr><td align="center" valign="middle" >Duration of treatment</td><td align="center" valign="middle" >100%</td></tr></tbody></table></table-wrap><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Number of drugs per prescription</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Number of drugs/prescription</th><th align="center" valign="middle" >Number (%) of prescriptions (n = 520)</th></tr></thead><tr><td align="center" valign="middle" >One drug</td><td align="center" valign="middle" >125 (24%)</td></tr><tr><td align="center" valign="middle" >Two drugs</td><td align="center" valign="middle" >146 (28%)</td></tr><tr><td align="center" valign="middle" >Three drugs</td><td align="center" valign="middle" >138 (26.53%)</td></tr><tr><td align="center" valign="middle" >Four drugs</td><td align="center" valign="middle" >66 (12.69%)</td></tr><tr><td align="center" valign="middle" >More than four drugs</td><td align="center" valign="middle" >45 (8.65%)</td></tr></tbody></table></table-wrap><p>Antibiotics were the most commonly (44.6%) prescribed drugs with amoxicillin being the most frequently (40%) given drug. Second in ranking were antihistmaines (43.65%) with xylometazoline (61.23%) and third are the analgesic/antipyretic drugs (32.30%) with paracetamol (87.5%) as number one of this class (<xref ref-type="table" rid="table5">Table 5</xref>). The most frequent diagnosis encountered were in the order of; dermatological disorders, tonsillitis, rhinitis, otitis media, gastroenteritis, upper respiratory tract infection, bronchial asthma, acute bronchitis, fever, iron deficiency anemia, mouth ulceration, urinary tract infection, conjunctivitis, cerebral palsy, cough, enuresis, cerumen impaction, and seizures (<xref ref-type="table" rid="table6">Table 6</xref>).</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>Several tools have been introduced to evaluate the quality of prescribing. The aim of this study was to determine</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Most commonly prescribed therapeutic classes and drugs of each class</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Therapeutic class</th><th align="center" valign="middle" >Number (%)</th><th align="center" valign="middle" >Drug (s) (n = 520)</th><th align="center" valign="middle" >Number (%)</th></tr></thead><tr><td align="center" valign="middle"  colspan="2"   rowspan="3"  >Antibiotics 232(44.6%)</td><td align="center" valign="middle" >Amoxicillin</td><td align="center" valign="middle" >93(40.0%)</td></tr><tr><td align="center" valign="middle" >Cefuroxime axetil</td><td align="center" valign="middle" >54 (23.3%)</td></tr><tr><td align="center" valign="middle" >Fusidic acid</td><td align="center" valign="middle" >48 (20.7%)</td></tr><tr><td align="center" valign="middle"  colspan="2"   rowspan="3"  >Antihistamines 227 (43.7%)</td><td align="center" valign="middle" >Xylometazoline</td><td align="center" valign="middle" >139 (61.2%)</td></tr><tr><td align="center" valign="middle" >Cetirizine HCl</td><td align="center" valign="middle" >104 (45.8%)</td></tr><tr><td align="center" valign="middle" >Loratidine</td><td align="center" valign="middle" >57 (25.1%)</td></tr><tr><td align="center" valign="middle"  colspan="2"   rowspan="3"  >Analgesics/antipyretics 168(32.3%)</td><td align="center" valign="middle" >Paracetamol</td><td align="center" valign="middle" >147 (87.5%)</td></tr><tr><td align="center" valign="middle" >Ibuprofen</td><td align="center" valign="middle" >11 (6.5%)</td></tr><tr><td align="center" valign="middle" >Diclofenac</td><td align="center" valign="middle" >5 (3%)</td></tr></tbody></table></table-wrap><table-wrap id="table6" ><label><xref ref-type="table" rid="table6">Table 6</xref></label><caption><title> Number and percentage of diagnosed conditions for which drugs were prescribed</title></caption><table><tbody><thead><tr><th align="center" valign="middle" >Condition</th><th align="center" valign="middle" >Number of cases (%) (n = 520)</th></tr></thead><tr><td align="center" valign="middle" >Dermatological disorders</td><td align="center" valign="middle" >30 (5.77%)</td></tr><tr><td align="center" valign="middle" >Tonsillitis</td><td align="center" valign="middle" >23 (4.42%)</td></tr><tr><td align="center" valign="middle" >Rhinitis</td><td align="center" valign="middle" >16 (3.08%)</td></tr><tr><td align="center" valign="middle" >Otitis media</td><td align="center" valign="middle" >14 (2.69%)</td></tr><tr><td align="center" valign="middle" >Gastroentiritis</td><td align="center" valign="middle" >13 (2.50%)</td></tr><tr><td align="center" valign="middle" >Upper respiratory tract infection</td><td align="center" valign="middle" >10 (1.92%)</td></tr><tr><td align="center" valign="middle" >Bronchial asthma</td><td align="center" valign="middle" >6 (1.15%)</td></tr><tr><td align="center" valign="middle" >Acute bronchitis</td><td align="center" valign="middle" >5 (0.96%)</td></tr><tr><td align="center" valign="middle" >Fever</td><td align="center" valign="middle" >5 (0.96%)</td></tr><tr><td align="center" valign="middle" >Iron deficiency anaemia</td><td align="center" valign="middle" >4 (0.77%)</td></tr><tr><td align="center" valign="middle" >Mouth ulceration</td><td align="center" valign="middle" >3 (0.58%)</td></tr><tr><td align="center" valign="middle" >Urinary tract infection</td><td align="center" valign="middle" >3 (0.58%)</td></tr><tr><td align="center" valign="middle" >Conjunctivitis</td><td align="center" valign="middle" >2 (0.38%)</td></tr><tr><td align="center" valign="middle" >Cerebral palsy</td><td align="center" valign="middle" >2 (0.38%)</td></tr><tr><td align="center" valign="middle" >Cough</td><td align="center" valign="middle" >2 (0.38%)</td></tr><tr><td align="center" valign="middle" >Enuresis</td><td align="center" valign="middle" >2 (0.38%)</td></tr><tr><td align="center" valign="middle" >Cerumen impaction Seizures</td><td align="center" valign="middle" >2 (0.38%)</td></tr><tr><td align="center" valign="middle" >Seizures</td><td align="center" valign="middle" >1 (0.19%)</td></tr></tbody></table></table-wrap><p>the quality of prescribing in paediatric outpatients in a general hospital in one of the Emirates of United Arab Emirates using the WHO core indicators for drug use. In the present study, the average number of drugs per encounter was 2.6. This is higher than the recommended figure of 2, however, it is similar to 2.5 in India [<xref ref-type="bibr" rid="scirp.53227-ref2">2</xref>] , more than that in Ethiopia [<xref ref-type="bibr" rid="scirp.53227-ref21">21</xref>] but less than that in KSA [<xref ref-type="bibr" rid="scirp.53227-ref22">22</xref>] . Prescribing large number of drugs to a child increases the risk of adverse effects, drug interactions, dispensing errors and leads to less understanding of parents of dosages regimens [<xref ref-type="bibr" rid="scirp.53227-ref23">23</xref>] [<xref ref-type="bibr" rid="scirp.53227-ref26">26</xref>] . It has been suggested that the optimal indicator values for the average number of drugs per encounter, and prescribing antibiotics and injections largely depend on disease patterns, policies and treatment guidelines and therefore may vary from country to country and over time [<xref ref-type="bibr" rid="scirp.53227-ref33">33</xref>] .</p><p>Our results indicate that there is a tendency for polypharmacy as almost 47.87% of prescriptions contain three drugs and more. However, since all prescriptions were electronic, the possible risks of interaction is reduced as the electronic system reminds the prescriber of such possible interactions. Again the electronic system must have had an influence on prescribing as in all encounters only generic drugs were prescribed. Increasing generic prescribing would rationalize the use and reduce the cost of drugs [<xref ref-type="bibr" rid="scirp.53227-ref34">34</xref>] . It has been reported that usually poor generic prescribing is due to non-availability of the pediatric formulations in the hospital pharmacy [<xref ref-type="bibr" rid="scirp.53227-ref27">27</xref>] [<xref ref-type="bibr" rid="scirp.53227-ref35">35</xref>] . In the present study, almost all (98%) of the prescribed drugs were dispensed.</p><p>Drug doses, dosing interval, and duration of dosing were present in all encounters. Selection of drugs to be prescribed from an electronic drug database verifies prescriptions and ensures the consideration of all drug related parameters, such as dose, route, and duration of treatment [<xref ref-type="bibr" rid="scirp.53227-ref5">5</xref>] .</p><p>In the present study, the information on patient’s name, age, and gender were present in all encounters. However, address of patient was missing from about 80% of prescriptions. This may not be a problem if the prescriber or pharmacist need to correct an error of prescribing or dispensing or to follow up with the patient because the hospital have the address of the patient in his file. Not mentioning the patient’s address constitutes a problem only if the patient has to seek medications outside the hospital and a dispensing error need to be corrected by the community pharmacist who dispensed the medication.</p><p>Allergy was not documented in 17% of the prescriptions. This is important particularly in paediatric population and when one consider the high % of encounters (44.6%) with antibiotics. Such use of antibiotics is similar to 43.19% in India [<xref ref-type="bibr" rid="scirp.53227-ref36">36</xref>] , much higher than (21%) reported for Omani pediatric population [<xref ref-type="bibr" rid="scirp.53227-ref37">37</xref>] and less than (53.42%) reported in Ethiopia [<xref ref-type="bibr" rid="scirp.53227-ref21">21</xref>] . It is a fact that antibiotics are routinely used for the treatment of pediatric illnesses and still irrationally used for inappropriate indications such as upper respiratory tract infections, acute otitis media and acute gastroenteritis. These three condition were among the most frequently diagnosed in the present study. The irrational use of antibiotics calls for more efforts and effective interventions to promote rational antibiotic use particularly in pediatric population. It is important to stress on the importance of continuous monitoring of drug use in pediatrics as part of evaluation of risk/benefit of therapeutics in children [<xref ref-type="bibr" rid="scirp.53227-ref38">38</xref>] .</p><p>Results of our study indicate that about one third of encounters did not mention the diagnosis. A brief diagnosis of the condition is also helpful to the pharmacist to ensure that the drugs prescribed are appropriate for the patient’s condition [<xref ref-type="bibr" rid="scirp.53227-ref5">5</xref>] and also can be helpful to the pharmacist in correcting, in consultation with the prescriber, any possible medication error. With regard to the prescriber’s information, all encounters were letter headed in the name and address of hospital, name of prescriber was mentioned and each encounter carried an electronic signature of the prescriber.</p><p>The most commonly prescribed therapeutic class was antibiotics These were encountered in (44.6%) of all prescriptions studied, and amoxicillin (40.0%) was the most commonly prescribed of this class. Antihistamines were the second most commonly (43.65%) prescribed class and xylometazoline (61.23%) was the most common antihistamine used. Third on the list were analgesic antipyretic drugs (32.30%) with paracetamol (87.5%) being the most common drug of the class. Studies from Sweden, the Netherlands, and Denmark showed that anti-infective drugs, respiratory drugs, and dermatological drugs were the most commonly prescribed drugs in pediatric patients [<xref ref-type="bibr" rid="scirp.53227-ref39">39</xref>] -[<xref ref-type="bibr" rid="scirp.53227-ref41">41</xref>] . On the other hand, the most frequently diagnosed conditions were; dermatological disorders, tonsillitis, rhinitis, otitis media, gastroenteritis, upper respiratory tract infection, bronchial asthma, acute bronchitis, fever, iron deficiency anemia. This may have bearing on the most commonly prescribed drug classes.</p></sec><sec id="s5"><title>5. Conclusion</title><p>In conclusion, the present study provides baseline data useful for comparison with results of future local pediatric drug utilization studies. Results of the present study indicate that there is, in general, a trend for rational prescribing practice in pediatrics ward of the hospital, especially with regard to information concerning prescriber, patient and prescribed drugs. Attention must be made to document the diagnosed condition and history of allergy. Irrational use of antibiotic for inappropriate indications such as upper respiratory tract infections and acute Otitis media should be discouraged through proper and effective interventions. This could be achieved by stressing on rational drug use, evidence-based medicine and the hazards of irrational antibiotic use in medical curriculum, and continuing medical education and healthcare professional development programs.</p></sec><sec id="s6"><title>Acknowledgements</title><p>We are grateful to the administration of Umm Al Qwuain Hospital and Umm Al Qwuain Medical District for their kind cooperation during data collection process.</p></sec><sec id="s7"><title>NOTES</title></sec></body><back><ref-list><title>References</title><ref id="scirp.53227-ref1"><label>1</label><mixed-citation publication-type="other" xlink:type="simple">Rupp, M.T., Schondelmeyer, S.W., Wilson, G.T. and Krause, J.E. (1988) Documenting Prescribing Errors and Pharmacist Interventions in Community Pharmacy Practice. 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